JUST IN: The advancement of AI agents in financial tasks raises an uncomfortable question what happens when they make mistakes?


A new proposal from researchers suggests a standard for measuring, classifying, and mitigating so called agentive risk, focusing on trading errors, autonomous decisions, and losses that could escalate rapidly.
Researchers have proposed a new approach to managing risk when AI agents make mistakes in financial operations.
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